Bring Low Code
to LlamaIndex
Learn how to connect Fastn to LlamaIndex and start using 16 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Fastn MCP Server?
Connect your Fastn account to any AI agent to orchestrate complex backend workflows and real-time API flows through natural language.
What you can do
- Flow Execution — Trigger Fastn flows instantly with custom JSON payloads and receive real-time responses via the API sync layer.
- Workflow Management — List, create, update, and publish flow definitions across different tenants to maintain your business logic.
- Execution Monitoring — Track execution history and drill down into step-by-step traces to debug or audit automated processes.
- Credential Handling — Securely store, retrieve, and rotate credentials for your various connectors and third-party integrations.
- Platform Insights — Monitor your platform usage, including daily quotas, summary metrics, and active space configurations.
How it works
- Subscribe to this server
- Provide your Fastn API Key and Space ID
- Start executing and managing your backend logic from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Developers — deploy, test, and trigger flows without leaving your code editor or terminal.
- DevOps Engineers — monitor execution traces and manage environment credentials programmatically through the agent.
- Product Teams — trigger business logic flows and check automation statuses via natural conversation.
Built-in capabilities (16)
Deactivate / archive a flow
Cancel a running execution
Create a new flow definition
The input object must match the Request Schema defined in the flow trigger. Execute a Fastn flow instantly (API Real-Time Sync)
Retrieve stored credentials
Get full step-by-step execution trace
Daily usage breakdown
Usage summary
Current usage against plan limits
Get a flow full specification
List execution history for a tenant
List all flow definitions for a tenant
Deploy / publish a flow
Rotate credentials
Store connector credentials
Update a flow definition
Why LlamaIndex?
LlamaIndex agents combine Fastn tool responses with indexed documents for comprehensive, grounded answers. Connect 16 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Fastn tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Fastn tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Fastn, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Fastn tools were called, what data was returned, and how it influenced the final answer
Fastn in LlamaIndex
Fastn and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Fastn to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Fastn in LlamaIndex
The Fastn MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 16 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Fastn for LlamaIndex
Every tool call from LlamaIndex to the Fastn MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I trigger a flow and get the result immediately?
Yes. Use the execute_flow tool with the flow name and input data. It performs a real-time sync execution and returns the response directly to the agent.
How can I debug a failed flow execution?
You can use list_executions to find the ID of the failed run, then use get_execution to retrieve a full step-by-step trace of what happened during that specific execution.
Is it possible to update an existing workflow definition?
Absolutely. The update_workflow tool allows you to modify the JSON definition of any flow. Remember to use publish_workflow afterwards to deploy your changes to the live environment.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Fastn tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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